Triple

T4221351
Position Surface form Disambiguated ID Type / Status
Subject Panevėžys E94346 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object P
P is the vehicle registration code used on license plates for the Lithuanian city of Panevėžys.
E422325 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: P | Statement: [Panevėžys, vehicleRegistrationCode, P]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: P
Context triple: [Panevėžys, vehicleRegistrationCode, P]
  • A. P
    P is the vehicle registration code used on license plates for the Czech city of Plzeň.
  • B. Pe
    Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
  • C. PO
    PO is a UK postcode area covering Portsmouth and surrounding parts of Hampshire and West Sussex.
  • D. PL
    PL is the commonly used abbreviation for the Patriot League, an NCAA Division I collegiate athletic conference known for emphasizing both academic and athletic excellence.
  • E. PL
    PL is the common abbreviation for Japan’s Pacific League, one of the two professional baseball leagues that make up Nippon Professional Baseball.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: P
Triple: [Panevėžys, vehicleRegistrationCode, P]
Generated description
P is the vehicle registration code used on license plates for the Lithuanian city of Panevėžys.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: P
Target entity description: P is the vehicle registration code used on license plates for the Lithuanian city of Panevėžys.
  • A. P
    P is the vehicle registration code used on license plates for the Czech city of Plzeň.
  • B. Pe
    Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
  • C. PO
    PO is a UK postcode area covering Portsmouth and surrounding parts of Hampshire and West Sussex.
  • D. PL
    PL is the commonly used abbreviation for the Patriot League, an NCAA Division I collegiate athletic conference known for emphasizing both academic and athletic excellence.
  • E. PL
    PL is the common abbreviation for Japan’s Pacific League, one of the two professional baseball leagues that make up Nippon Professional Baseball.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69b3451997e08190851db4a9a588837d completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34e0e06d881908e3aa8ef1a90c010 completed March 12, 2026, 11:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5963ffacc8190843b60ea1b224f91 completed March 14, 2026, 5:09 p.m.
NEDg Description generation batch_69b596b842648190a6f00c37e23e311f completed March 14, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_69b59769936081908c42c0006b6ad9c3 completed March 14, 2026, 5:14 p.m.
Created at: March 12, 2026, 11:04 p.m.